Evidence map›Paper›PMID 37995059›Full record

ArticleJournal of occupational rehabilitation2024

Experiences of Working with Lower Limb Osteoarthritis: A Qualitative Study.

Yousef S Alyousef, Megan H Ross, Venerina Johnston, Michelle D Smith

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Article in Journal of occupational rehabilitation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yousef S AlyousefSchool of Health and Rehabilitation Sciences, Physiotherapy, The University of Queensland, Brisbane, QLD, Australia.
Megan H RossSchool of Health and Rehabilitation Sciences, Physiotherapy, The University of Queensland, Brisbane, QLD, Australia.
Venerina JohnstonSchool of Health and Rehabilitation Sciences, Physiotherapy, The University of Queensland, Brisbane, QLD, Australia.
Michelle D SmithSchool of Health and Rehabilitation Sciences, Physiotherapy, The University of Queensland, Brisbane, QLD, Australia. m.smith5@uq.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePain and disability associated with lower limb osteoarthritis (OA) may contribute to difficulties at work. This study aimed to understand the perspectives of workers with lower limb OA on difficulties, concerns, and coping strategies used at work.

methodsTwenty-two individuals with lower limb OA who were working in paid employment participated in semi-structured interviews. Data were qualitatively analyzed using an inductive thematic approach. Codes were identified and refined through review of interview transcripts and discussion with the research team.

resultsSix themes were identified in relation to experiences working with lower limb OA. Themes were as follows: weight-bearing physical demands are challenging; lower limb OA can affect work performance; emotional consequences of pain; concerns about work in the future; positive experiences of supportive colleagues and managers; and minimal effects on sedentary work. Three themes were identified relating to strategies to manage at work: adjustments at work help manage pain and avoid exacerbations; regular strategies to manage pain; and healthcare professionals are consulted, but usually not specifically for work.

conclusionsWorkers with lower limb OA experience physical and emotional difficulties at work that can impact work performance. Workers are concerned about longevity and job security and use a range of strategies to manage symptoms and remain at work. Employers, employees, and healthcare professionals may need to work together to create workplace accommodations to help workers with lower limb OA confidently remain in work.

Indexed as

Adaptation, PsychologicalQualitative ResearchAdultAgedEmploymentFemaleHumansInterviews as TopicLower ExtremityMaleMiddle AgedOsteoarthritisOsteoarthritis, KneeWeight-BearingWork PerformanceWorkplaceLower limbOsteoarthritisProductivityWorkWorkers

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.